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Added security doc link from apple and macos 26 requirement
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README.md

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# ⚡ CodeRunner: Secure Code Execution Sandbox
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CodeRunner provides a secure MCP (Model Context Protocol) server that runs inside a sandboxed environment, powered by Apple's native [container](https://github.com/apple/container) technology. It allows you to safely execute code generated by AI models like Claude, OpenAI GPT, or Ollama.
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CodeRunner provides a secure MCP (Model Context Protocol) code execution server that runs inside a sandboxed environment on your Mac, powered by Apple's native [containers](https://github.com/apple/container). It allows you to safely execute code generated by AI models like Claude, OpenAI GPT, or Ollama.
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This guide shows you how to use the pre-built CodeRunner sandbox.
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## 🚀 Quick Start
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### Prerequisites
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- Mac with Apple Silicon (M1/M2/M3/M4 series)
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- Mac with preferably macOS 26.0 (currently in Developer beta) or later and Apple Silicon (M1/M2/M3/M4 series)
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- **[Apple `container` Tool](https://github.com/apple/container)** - [Download installer](https://github.com/apple/container/releases/download/0.1.0/container-0.1.0-installer-signed.pkg)
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- **Python 3.10+**
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### Sandboxed Execution
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All code runs in an isolated container environment, ensuring your host system remains secure.
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From [@apple/container](https://github.com/apple/container/blob/main/docs/technical-overview.md) documentation -
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>Security: Each container has the isolation properties of a full VM, using a minimal set of core utilities and dynamic libraries to reduce resource utilization and attack surface.
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## 🏗️ Architecture
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CodeRunner consists of:
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

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